Force variability and musculoskeletal pain in blue-collar workers

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Blue-collar workers with physically demanding occupations have a high prevalence of musculoskeletal disorders accompanied by pain. Previous research has suggested that reduced motor variability may increase the risk of developing musculoskeletal disorders. Here we present preliminary data from an ongoing cross-sectional examination of physical performance in elderly manual workers. This paper includes data from 20 male workers (age 52–70 years). Handgrip force variability was measured using a digital hand dynamometer during an endurance trial where the workers exerted 30% of their maximal isometric contraction force until task failure. Absolute variability (standard deviation), relative variability (coefficient of variation), and the complexity of the force signal (sample entropy) were computed. The workers were dichotomized into two groups: no to mild pain/discomfort (No pain) and moderate to severe pain/discomfort (Pain) to investigate the effects of musculoskeletal pain on force variability. This dichotomy was done based on the rating of pain/discomfort within the last seven days, where workers reporting ≥3 score in the upper extremities were allocated to the pain group (Pain, n = 9, No pain, n = 11). No significant between-group differences in force variability during the endurance trial were found. Both absolute and relative variability increased significantly over time. These preliminary data do not support a difference in force variability between blue-collar workers with or without musculoskeletal pain or discomfort in the upper extremities.

Original languageEnglish
Title of host publicationProceedings of the 20th Congress of the International Ergonomics Association, IEA 2018 : Volume IX: Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments
EditorsSebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Yushi Fujita, Thomas Alexander
Number of pages9
PublisherSpringer
Publication date1 Jan 2019
Pages59-67
ISBN (Print)978-3-319-96064-7
ISBN (Electronic)978-3-319-96065-4
DOIs
Publication statusPublished - 1 Jan 2019
Event20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italy
Duration: 26 Aug 201830 Aug 2018

Conference

Conference20th Congress of the International Ergonomics Association, IEA 2018
CountryItaly
CityFlorence
Period26/08/201830/08/2018
SeriesAdvances in Intelligent Systems and Computing
Volume826
ISSN2194-5357

Fingerprint

Musculoskeletal Pain
Pain
Upper Extremity
Somatoform Disorders
Isometric Contraction
Entropy
Advisory Committees
Occupations
Physical Examination
Hand

Keywords

  • Discomfort
  • Endurance
  • Handgrip strength
  • Motor control

Cite this

Norheim, K. L., Bønløkke, J. H., Omland, Ø., Samani, A., & Madeleine, P. (2019). Force variability and musculoskeletal pain in blue-collar workers. In S. Bagnara, R. Tartaglia, S. Albolino, Y. Fujita, & T. Alexander (Eds.), Proceedings of the 20th Congress of the International Ergonomics Association, IEA 2018: Volume IX: Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments (pp. 59-67). Springer. Advances in Intelligent Systems and Computing, Vol.. 826 https://doi.org/10.1007/978-3-319-96065-4_9
Norheim, Kristoffer Larsen ; Bønløkke, Jakob Hjort ; Omland, Øyvind ; Samani, Afshin ; Madeleine, Pascal. / Force variability and musculoskeletal pain in blue-collar workers. Proceedings of the 20th Congress of the International Ergonomics Association, IEA 2018: Volume IX: Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments. editor / Sebastiano Bagnara ; Riccardo Tartaglia ; Sara Albolino ; Yushi Fujita ; Thomas Alexander. Springer, 2019. pp. 59-67 (Advances in Intelligent Systems and Computing, Vol. 826).
@inproceedings{b4bc0e68a6a645c29ebc1535b8d3f1a3,
title = "Force variability and musculoskeletal pain in blue-collar workers",
abstract = "Blue-collar workers with physically demanding occupations have a high prevalence of musculoskeletal disorders accompanied by pain. Previous research has suggested that reduced motor variability may increase the risk of developing musculoskeletal disorders. Here we present preliminary data from an ongoing cross-sectional examination of physical performance in elderly manual workers. This paper includes data from 20 male workers (age 52–70 years). Handgrip force variability was measured using a digital hand dynamometer during an endurance trial where the workers exerted 30{\%} of their maximal isometric contraction force until task failure. Absolute variability (standard deviation), relative variability (coefficient of variation), and the complexity of the force signal (sample entropy) were computed. The workers were dichotomized into two groups: no to mild pain/discomfort (No pain) and moderate to severe pain/discomfort (Pain) to investigate the effects of musculoskeletal pain on force variability. This dichotomy was done based on the rating of pain/discomfort within the last seven days, where workers reporting ≥3 score in the upper extremities were allocated to the pain group (Pain, n = 9, No pain, n = 11). No significant between-group differences in force variability during the endurance trial were found. Both absolute and relative variability increased significantly over time. These preliminary data do not support a difference in force variability between blue-collar workers with or without musculoskeletal pain or discomfort in the upper extremities.",
keywords = "Discomfort, Endurance, Handgrip strength, Motor control",
author = "Norheim, {Kristoffer Larsen} and B{\o}nl{\o}kke, {Jakob Hjort} and {\O}yvind Omland and Afshin Samani and Pascal Madeleine",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-319-96065-4_9",
language = "English",
isbn = "978-3-319-96064-7",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "59--67",
editor = "Sebastiano Bagnara and Riccardo Tartaglia and Sara Albolino and Yushi Fujita and Thomas Alexander",
booktitle = "Proceedings of the 20th Congress of the International Ergonomics Association, IEA 2018",
address = "Germany",

}

Norheim, KL, Bønløkke, JH, Omland, Ø, Samani, A & Madeleine, P 2019, Force variability and musculoskeletal pain in blue-collar workers. in S Bagnara, R Tartaglia, S Albolino, Y Fujita & T Alexander (eds), Proceedings of the 20th Congress of the International Ergonomics Association, IEA 2018: Volume IX: Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments. Springer, Advances in Intelligent Systems and Computing, vol. 826, pp. 59-67, 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26/08/2018. https://doi.org/10.1007/978-3-319-96065-4_9

Force variability and musculoskeletal pain in blue-collar workers. / Norheim, Kristoffer Larsen; Bønløkke, Jakob Hjort; Omland, Øyvind; Samani, Afshin; Madeleine, Pascal.

Proceedings of the 20th Congress of the International Ergonomics Association, IEA 2018: Volume IX: Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments. ed. / Sebastiano Bagnara; Riccardo Tartaglia; Sara Albolino; Yushi Fujita; Thomas Alexander. Springer, 2019. p. 59-67 (Advances in Intelligent Systems and Computing, Vol. 826).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - Force variability and musculoskeletal pain in blue-collar workers

AU - Norheim, Kristoffer Larsen

AU - Bønløkke, Jakob Hjort

AU - Omland, Øyvind

AU - Samani, Afshin

AU - Madeleine, Pascal

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Blue-collar workers with physically demanding occupations have a high prevalence of musculoskeletal disorders accompanied by pain. Previous research has suggested that reduced motor variability may increase the risk of developing musculoskeletal disorders. Here we present preliminary data from an ongoing cross-sectional examination of physical performance in elderly manual workers. This paper includes data from 20 male workers (age 52–70 years). Handgrip force variability was measured using a digital hand dynamometer during an endurance trial where the workers exerted 30% of their maximal isometric contraction force until task failure. Absolute variability (standard deviation), relative variability (coefficient of variation), and the complexity of the force signal (sample entropy) were computed. The workers were dichotomized into two groups: no to mild pain/discomfort (No pain) and moderate to severe pain/discomfort (Pain) to investigate the effects of musculoskeletal pain on force variability. This dichotomy was done based on the rating of pain/discomfort within the last seven days, where workers reporting ≥3 score in the upper extremities were allocated to the pain group (Pain, n = 9, No pain, n = 11). No significant between-group differences in force variability during the endurance trial were found. Both absolute and relative variability increased significantly over time. These preliminary data do not support a difference in force variability between blue-collar workers with or without musculoskeletal pain or discomfort in the upper extremities.

AB - Blue-collar workers with physically demanding occupations have a high prevalence of musculoskeletal disorders accompanied by pain. Previous research has suggested that reduced motor variability may increase the risk of developing musculoskeletal disorders. Here we present preliminary data from an ongoing cross-sectional examination of physical performance in elderly manual workers. This paper includes data from 20 male workers (age 52–70 years). Handgrip force variability was measured using a digital hand dynamometer during an endurance trial where the workers exerted 30% of their maximal isometric contraction force until task failure. Absolute variability (standard deviation), relative variability (coefficient of variation), and the complexity of the force signal (sample entropy) were computed. The workers were dichotomized into two groups: no to mild pain/discomfort (No pain) and moderate to severe pain/discomfort (Pain) to investigate the effects of musculoskeletal pain on force variability. This dichotomy was done based on the rating of pain/discomfort within the last seven days, where workers reporting ≥3 score in the upper extremities were allocated to the pain group (Pain, n = 9, No pain, n = 11). No significant between-group differences in force variability during the endurance trial were found. Both absolute and relative variability increased significantly over time. These preliminary data do not support a difference in force variability between blue-collar workers with or without musculoskeletal pain or discomfort in the upper extremities.

KW - Discomfort

KW - Endurance

KW - Handgrip strength

KW - Motor control

UR - http://www.scopus.com/inward/record.url?scp=85051788933&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-96065-4_9

DO - 10.1007/978-3-319-96065-4_9

M3 - Article in proceeding

SN - 978-3-319-96064-7

T3 - Advances in Intelligent Systems and Computing

SP - 59

EP - 67

BT - Proceedings of the 20th Congress of the International Ergonomics Association, IEA 2018

A2 - Bagnara, Sebastiano

A2 - Tartaglia, Riccardo

A2 - Albolino, Sara

A2 - Fujita, Yushi

A2 - Alexander, Thomas

PB - Springer

ER -

Norheim KL, Bønløkke JH, Omland Ø, Samani A, Madeleine P. Force variability and musculoskeletal pain in blue-collar workers. In Bagnara S, Tartaglia R, Albolino S, Fujita Y, Alexander T, editors, Proceedings of the 20th Congress of the International Ergonomics Association, IEA 2018: Volume IX: Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments. Springer. 2019. p. 59-67. (Advances in Intelligent Systems and Computing, Vol. 826). https://doi.org/10.1007/978-3-319-96065-4_9